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Morning Edition · Thursday, September 10, 2026Published at 2:24 AM EDT · New York
Researchers Propose Auditing AI Scientists by Their Process Traces, Not Their Papers
OpenDiscoveryTrace argues that benchmarks scoring only final code, hypotheses or write-ups make scientific claims impossible to audit, as national laboratories put vision models into live research pipelines.
Existing benchmarks for autonomous AI scientists grade the output and discard everything else. OpenDiscoveryTrace makes the case that this is the wrong unit of evaluation, because a correct hypothesis reached through a flawed or fabricated…
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AI Moves Into Autonomous Scientific Discovery and Clinical Care
Over the next 3-9 months, AI systems move beyond text tasks into running real scientific experiments and managing clinical care, backed by peer-reviewed and benchmarked evidence of chemist- and physician-level performance.
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